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An efficient eigenspace updating scheme for high-dimensional systems

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Selected Problems of Biomedical Engineering (special section, pp. 7 - 63), Marek Kowal and Józef Korbicz (Eds.)

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Chandrasekaran, S., Manjunath, B., Wang, Y., Winkeler, J. and Zhang, H. (1997). An eigenspace update algorithm for image analysis, Graphical Models and Image Processing 59(5): 321-332.10.1006/gmip.1997.0425Search in Google Scholar

Gangl, S. and ˇZalik, B. (2011). Partially lossless compression of dicom image sets, Anales del Congreso Argentino de Informatica y Salud, C´ordoba, Argentina, pp. 131-136.Search in Google Scholar

Han, X. (2010). Nonnegative principal component analysis for cancer molecular pattern discovery, IEEE/ACM Transactions on Computational Biology and Bioinformatics 7(3): 537-549.10.1109/TCBB.2009.36Search in Google Scholar

ITU (2007). ITU-T Recommendation H.264: Advanced video coding for generic audiovisual services.Search in Google Scholar

Jin, X.-Q. and Wei, Y.-M. (2007). A short note on singular values of optimal and superoptimal preconditioned matrices, International Journal of Computer Mathematics 84(8): 1261-1263.10.1080/00207160701356530Search in Google Scholar

Jolliffe, I.T. (1986). Principal Component Analysis, 1st Edn., Springer, New York, NY.Search in Google Scholar

Lenz, R. and Bui, T.H. (2004). Recognition of non-negative patterns, Proceedings of the 17th International Conference on Pattern Recognition ICPR 2004, Cambridge, UK, Vol. 3, pp. 498-501.Search in Google Scholar

Liu, X., Chen, T. and Thornton, S.M. (2003). Eigenspace updating for non-stationary process and its application to face recognition, Pattern Recognition 36(9): 1945-1959.10.1016/S0031-3203(03)00057-8Search in Google Scholar

Lo, S.-C. B., Li, H. and Freedman, M.T. (2003). Optimization of wavelet decomposition for image compression and feature preservation, IEEE Transactions on Medical Imaging 22(9): 1141-1151.10.1109/TMI.2003.81695312956269Search in Google Scholar

Meyer, C.D. (2000). Matrix Analysis and Applied Linear Algebra, Society for Industrial and Applied Mathematics, Philadelphia, PA.10.1137/1.9780898719512Search in Google Scholar

Nie, Y.Y., Li, Z. and Han, J.D. (2008). Origin-shifted algorithm for matrix eigenvalues, International Journal of Computer Mathematics 85(9): 1397-1411.10.1080/00207160701504105Search in Google Scholar

Perez-Iglesias, H., Dapena, A. and Castedo, L. (2005). A novel video coding scheme based on principal component analysis, 2005 IEEE Workshop on Machine Learning for Signal Processing, Mystic, CT, USA, pp. 361-366.Search in Google Scholar

Richardson, I. (2003). H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia, Wiley, Chichester.Search in Google Scholar

Siwek, K., Osowski, S. and Szupiluk, R. (2009). Ensemble neural network approach for accurate load forecasting in a power system, International Journal of Applied Mathematics and Computer Science 19(2): 303-315, DOI: 10.2478/v10006-009-0026-2.10.2478/v10006-009-0026-2Search in Google Scholar

Skraban, J., Dzeroski, S., Zenko, B., Mongus, D., Gangl, S. and Rupnik, M. (2013). Gut microbiota patterns associated with colonization of different Clostridium difficile ribotypes, PLoS ONE 8(2): e58008.10.1371/journal.pone.0058005358524923469128Search in Google Scholar

Söderström, U. and Li, H. (2005). Very low bitrate full-frame facial video coding based on principal component analysis, Proceedings of the Signal and Image Processing Conference, Honolulu, HI, USA, pp. 127-132.Search in Google Scholar

Söderström, U. and Li, H. (2007). Principal component video coding for simple decoding on mobile devices, Proceedings of the Swedish Symposium on Image Analysis, Link¨oping, Sweden, no. 47, pp. 149-152. Search in Google Scholar

Spiegel, S., Gaebler, J., Lommatzsch, A., De Luca, E. and Albayrak, S. (2011). Pattern recognition and classification for multivariate time series, Proceedings of the 5th International Workshop on Knowledge Discovery from Sensor Data, Sensor KDDM’11, San Diego, CA, USA, pp. 34-42.Search in Google Scholar

Sumi, S.M., Zaman, M.F. and Hirose, H. (2012). A rainfall forecasting method using machine learning models and its application to the Fukuoka city case, International Journal of Applied Mathematics and Computer Science 22(4): 841-854, DOI: 10.2478/v10006-012-0062-1.10.2478/v10006-012-0062-1Search in Google Scholar

Taubman, D.S. and Marcellin, M.W. (2002). JPEG2000: Image Compression Fundamentals, Standards and Practice, Kluwer Academic Publishers, Boston, MA.10.1007/978-1-4615-0799-4Search in Google Scholar

Turk, M. and Pentland, A. (1991). Eigenfaces for recognition, Journal of Cognitive Neuroscience 3(1): 71-86. 10.1162/jocn.1991.3.1.7123964806Search in Google Scholar

ISSN:
1641-876X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Applied Mathematics